Data Analytics Specialist

Job Req ID: 56871

Posting Date: 27th March 2026

Function: Data & AI 

Location: London, Birmingham, Manchester, Bristol 

Salary: Competitive with great benefits 

Please note this role is a 12 month fixed term contract. 

About EE

We’re EE. We are the biggest mobile and broadband operator in the UK and we have a relationship in every second household in the country. But we’re for everyone, on any network – serving up new tech, new services, and heaps of inspiration for every aspect of your connected life.

We’ve been awarded the UK’s best network for the last 10 years. It’s central to our vision – to be the most personal customer-focused technology company in the UK.

That means earning a place on customers’ home screens by offering them more than ever before, whether that’s helping their home run smarter with EE Home, levelling up their play with EE Game, helping them work on their terms with EE Work, or even unleashing their kids’ learning with EE Learn. 

We’re also part of BT Group, which we’re even bigger than you might think. Millions of people rely on us every day to help them live their lives, power their businesses, and keep their public services running. We connect friends to family, clients to colleagues, people to possibilities. We keep the wheels of business spinning, and the emergency services responding. 

We think we’ve got something special here. We want everyone to feel proud about working at EE – and feel excited about where we’re going and what we’re going to do. Want to join in? 

Why this job matters

The Data Solution Design Specialist is responsible for designing scalable, robust, and business-aligned data solutions that underpin analytics and reporting across the organisation. 
Sitting within a development sub-squad and interfacing with the lead, data consultant and engineers, this role ensures that data solutions are fit for purpose for today and the future. They should conform to the data architecture / model guardrails - which are which you will be responsible for supporting in defining, and enforced by the Data Solution Design Manager to enable scalable future growth, supporting increased data volumes, users, and use cases without unnecessary complexity or cost. 

What you’ll be doing

Design Authority & Standards

• Support the Data Solution Design Manager in defining and maintaining design standards for analytical data products (data models, architecture and pipelines).•    Ensure designs align to data architecture standards, security requirements, and guardrails
• Act as the design conscience within the allocated sub-squad ensuring consistency, performance, and governance across products.
• Embed principles of reusability, automation, and scalability in all data solution designs.

Solution Architecture & Delivery

• Within the assigned sub-squad: Lead on the end-to-end design of analytics data solutions from design through to delivery by translating business and product requirements into clear, well-structured data solution designs that are effective from both a data and visualisation perspective
• Partner with data engineers, analysts, and visualisation developers to ensure solutions meet both business and technical requirements.
• Champion integration of analytical data products across the data estate, reducing duplication and improving interoperability.
• Identify and mitigate scalability and performance risks early in the design lifecycle 

Consulting & Stakeholder Engagement

• Act as a design authority, providing assurance and guidance on data solution designs working closely with Data consultants, Data engineers, Analytics engineers, and visualisation developers during build
• Communicate complex technical designs clearly to both technical and non-technical audiences
• Provide thought leadership on data product design, advising on trade-offs, options, and strategic fit.
• Influence colleagues to adopt best practice approaches.

Governance & Quality Assurance

• Ensure compliance with data governance, security, and privacy policies.
• Support design reviews and solution walkthroughs and sign-offs.
• Champion data quality, accessibility, and transparency in all products.

Skills required for the job

Essential

• Demonstratable evidence of designing scalable and performant analytical data products (data warehouses, semantic layers, data models, APIs, dashboards).
• Intermediate knowledge of data modelling (dimensional, relational, semantic) and visualisation design best practices.
• Experience working with modern data platforms (cloud data warehouses/lakes, ETL/ELT tools, BI platforms such as QlikSense/Power BI/Tableau).
• Consulting ability: able to engage with stakeholders, challenge requirements, and translate into clear, scalable designs.
• Understanding of data governance, metadata management, and product lifecycle management.
• Understanding of cloud cost management and FinOps principles 

Desirable

• Experience working in Agile or product-led delivery models
• Exposure to advanced analytics, ML feature store design, or data science enablement.
• Knowledge of automation frameworks and CI/CD for data products.
• Prior experience in telecoms, media, or similar data-rich industries.
• Understanding of cloud cost management and FinOps principles 

Essential

• Demonstratable evidence of designing scalable and performant analytical data products (data warehouses, semantic layers, data models, APIs, dashboards).
• Intermediate knowledge of data modelling (dimensional, relational, semantic) and visualisation design best practices.
• Experience working with modern data platforms (cloud data warehouses/lakes, ETL/ELT tools, BI platforms such as QlikSense/Power BI/Tableau).
• Consulting ability: able to engage with stakeholders, challenge requirements, and translate into clear, scalable designs.
• Understanding of data governance, metadata management, and product lifecycle management.
• Understanding of cloud cost management and FinOps principles 

Desirable

• Experience working in Agile or product-led delivery models
• Exposure to advanced analytics, ML feature store design, or data science enablement.
• Knowledge of automation frameworks and CI/CD for data products.
• Prior experience in telecoms, media, or similar data-rich industries.
• Understanding of cloud cost management and FinOps principles 

Our leadership standards

Looking in:
Leading inclusively and Safely
I inspire and build trust through self-awareness, honesty and integrity.
Owning outcomes
I take the right decisions that benefit the broader organisation.

Looking out:
Delivering for the customer
I execute brilliantly on clear priorities that add value to our customers and the wider business.
Commercially savvy
I demonstrate strong commercial focus, bringing an external perspective to decision-making.

Looking to the future:
Growth mindset
I experiment and identify opportunities for growth for both myself and the organisation.
Building for the future
I build diverse future-ready teams where all individuals can be at their best.

We value diversity and celebrate difference. ‘We embed diversity and inclusion into everything that we do. It’s fundamental to our purpose: we connect for good.’ 

We all stick to the same values: Personal, Simple, and Brilliant. From day one, you’ll get stuck in to tough challenges, pitch in with ideas, make things happen. But you won’t be alone: we’ll be there with help and support, learning and development. 

A FEW POINTS TO NOTE:

Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

DON'T MEET EVERY SINGLE REQUIREMENT?

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.